ScholarED

Schools need to see who needs review, understand why and follow through on what they decide. ScholarED connects those steps: assessment results identify students for review, an AI-drafted brief helps staff prepare for meetings, and decisions are recorded with owners and review dates. Staff can then compare progress before and after support.

It works with IB, GCSE, SAT/ACT and other assessment systems, and is available to early-adopter schools. Nayef Abu Tayeh founded ScholarED, with Amr Belbeisi and Abdeen Industries as its two technical co-founders. We built ScholarED together. Amr focused on the learning and support experience and AI assistant, while we focused on the platform, AI integration and research evaluation.

Each school runs its own installation, with its own app, database and sign-in. It can be hosted or run on the school’s own servers. That gives schools a choice about where the service operates, with a separate installation for their staff and student records.

Before anything reaches an AI model, student names and identifiers are removed. If an identifier remains, the request stops. Drafts are also checked to keep out diagnoses and promises about outcomes. AI prepares material for staff to review; staff make the decisions, and nothing is sent automatically.

We evaluated whether giving the AI research improved its support plans. In that evaluation, the drafting rules mattered more than the research. After we changed those rules, plans proposing support for needs nobody had recorded fell from 16 in 90 to 4 in 90.

That result gave us a concrete reason to improve the instructions governing each draft. A useful plan needs to stay grounded in what staff have actually recorded. We treat draft quality as something to test, alongside privacy and deployment, while leaving educational judgment with the people responsible for the student.